and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Amazon is an equal opportunities employer. We believe More ❯
requirements: 5+ years in AI/ML engineering or Dev Tooling (AI-focused) Experience deploying AI/LLM agents into real-world product/dev organizations Strong understanding of LangChain, OpenRouter, RAG pipelines, OpenWebUI Experience from AI-native companies like Replit, Notion, OpenAI, HuggingFace, Retool Capable of owning AI adoption strategy and executing hands-on #J-18808-Ljbffr More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Stealth IT Consulting Limited
What Were Looking For: Managerial experience - Leading/Managing a small team of GenAi Developers Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client More ❯
a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. You'll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or Rust More ❯
a broad of understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML …/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off More ❯
a broad of understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML …/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off More ❯
and unstructured laboratory and sequencing data sources. • Master Full-Stack technologies, such as Python, JavaScript/TypeScript, Cloud (preferably AWS), SQL, Unix Desirable Skills • Deep familiarity with AI frameworks (LangChain, LangGraph, Pydantic AI) with examples of real-world multi-agent AI applications. If you have the above experience please send your CV for immediate consideration as our client are looking More ❯
and efficiency, leveraging best practices in AI engineering. Integrate using Microsoft Graph API or prebuilt plugins Requirements Strong experience with LLMs (OpenAI, Mistral, Claude, etc.) Built with tools like LangChain, OpenRouter, or function-calling agents Solid with Next.js, Node.js, or Python (we're flexible) Some experience (or curiosity) around regulated workflows and operational complexity Bonus: Microsoft Graph API or More ❯
problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice More ❯
engineering, developer tooling, or AI-first product environments Proven experience deploying LLM agents and tools into real-world engineering or product organizations Deep expertise with modern AI ecosystems, including: LangChain OpenRouter Retrieval-Augmented Generation (RAG) pipelines OpenWebUI and other dev-facing AI interfaces Background in or strong familiarity with AI-native companies Hands-on ability to own strategy and execution More ❯
to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance• Stay ahead of the curve on emerging AI technologies: Continuously research and … in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with More ❯
to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance• Stay ahead of the curve on emerging AI technologies: Continuously research and … in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with More ❯
Able to deploy and scale responsive, cross-browser consumer websites API Integrations: Confident working with third-party APIs and building wrappers for AI tools AI Tooling & Frameworks: Familiarity with LangChain, OpenAI SDKs, or other AI orchestration stacks Product Sprints: You're comfortable working in rapid, iterative cycles with weekly releases Prompt Engineering: Able to craft, test, and refine prompts for More ❯
with scientists and building enabling tools for them. Excellent communication and influence across cross-functional teams; motivated by product impact. Mentoring and coaching ML engineers. Familiarity with LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure Why youll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Preply.com , Learning & Development budget More ❯
with scientists and building enabling tools for them. Excellent communication and influence across cross-functional teams; motivated by product impact. Mentoring and coaching ML engineers. Familiarity with LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure Why youll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons onPreply.com , Learning & Development budget and More ❯
Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). 5. Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. Advise internal stakeholders … AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with senior More ❯
Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others More ❯
founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯
and advocate for DevOps and Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Stay current with developments in LLM orchestration, multi-agent systems, prompt engineering, and LangChain/LangGraph frameworks. Minimum Requirements: Experience as a Software Engineer, and AI/ML or LLM-centric development. Proven track record with LangGraph, LangChain, or similar orchestration frameworks. Expert in More ❯
founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯
founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯
test and refine prompts through performance benchmarking and feedback loops Required Experience: Strong experience designing prompts for GPT-4, Claude, or equivalent LLMs Hands-on knowledge of frameworks like LangChain, DSPy, or similar tools Ability to reason across structured data, text-based inputs, and system state Familiarity with embedding-based retrieval, memory architectures, and prompt composition High standards for clarity More ❯
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from La Fosse Data Science, AI & Machine Learning Consultant at La Fosse Machine Learning Engineer London (Hybrid) Up to 65,000 One of La More ❯
you can ship Python or TypeScript prototypes, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step "chains" using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices using Docker, Kubernetes, and FastAPI, ensuring smooth model serving and error handling; Vector Search & Retrieval: Implement retrieval-augmented workflows: ingest documents … APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for UI demos. Familiarity with containerization (Docker) and More ❯
